Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: creating, by one or more processors, a two-dimensional image of the medical image to detect a medical condition that includes aortic dissection, wherein the two-dimensional view is a cross-sectional view of an aorta perpendicular to a point along the aorta center line, wherein the two-dimensional image is created at a first angle from a plurality of slices of the medical image at a second angle; determining, by one or more processors, whether a flap present based on a plurality of historic images, wherein the flap in the aorta indicates aortic dissection; responsive to determining the medical image includes a first medical condition, generating, by one or more processors, a first report that includes information on a detection of the first medical condition; identifying, by one or more processors, a medical specialist based on availability and medical expertise; sending, by one or more processors, to a first electronic device associated with the identified medical specialist, the medical image and the first report to receive a decision on the detection of the first medical condition from the identified medical specialist; and responsive to receiving the decision from the medical specialist, sending, by one or more processors, to a second electronic device, the decision, the medical image, and the first report.
A system processes medical images to detect conditions like aortic dissection. It creates a two-dimensional cross-sectional view of the aorta from multiple slices of the medical image, oriented perpendicular to the aorta's centerline. The system then analyzes this view, comparing it to historical images, to determine if a "flap" indicative of aortic dissection is present. If a medical condition is detected, the system generates a report detailing this finding. It then identifies a suitable medical specialist based on their availability and expertise. The medical image and the generated report are sent to the specialist's electronic device for their review and decision. Once the specialist's decision is received, the system sends this decision, along with the original medical image and report, to a second electronic device.
2. The method of claim 1 , further comprising: generating, by one or more processors, a synthetic image based on the medical image highlighting the first medical condition in the medical image.
A system processes medical images to detect conditions like aortic dissection. It first creates a two-dimensional cross-sectional view of the aorta from multiple slices of the medical image, oriented perpendicular to the aorta's centerline. The system analyzes this view, comparing it to historical images, to determine if a "flap" indicative of aortic dissection is present. If a medical condition is detected, the system generates a report detailing this finding. Additionally, it generates a synthetic image from the original medical image, specifically highlighting the detected medical condition. The system then identifies a suitable medical specialist based on their availability and expertise. The original medical image and the generated report are sent to the specialist's electronic device for their review and decision. Once the specialist's decision is received, the system sends this decision, along with the original medical image and report, to a second electronic device.
3. The method of claim 2 , further comprises: sending, by one or more processors, to the first electronic device associated with the identified medical specialist, the synthetic image.
A system processes medical images to detect conditions like aortic dissection. It first creates a two-dimensional cross-sectional view of the aorta from multiple slices of the medical image, oriented perpendicular to the aorta's centerline. The system analyzes this view, comparing it to historical images, to determine if a "flap" indicative of aortic dissection is present. If a medical condition is detected, the system generates a report detailing this finding. Additionally, it generates a synthetic image from the original medical image, specifically highlighting the detected medical condition. The system then identifies a suitable medical specialist based on their availability and expertise. The original medical image, the generated report, and the synthetic image are all sent to the specialist's electronic device for their review and decision. Once the specialist's decision is received, the system sends this decision, along with the original medical image and report, to a second electronic device.
4. The method of claim of 1 , wherein identifying a medical specialist is based on availability and location.
A system processes medical images to detect conditions like aortic dissection. It creates a two-dimensional cross-sectional view of the aorta from multiple slices of the medical image, oriented perpendicular to the aorta's centerline. The system then analyzes this view, comparing it to historical images, to determine if a "flap" indicative of aortic dissection is present. If a medical condition is detected, the system generates a report detailing this finding. It then identifies a suitable medical specialist based on their availability and geographical location. The medical image and the generated report are sent to the specialist's electronic device for their review and decision. Once the specialist's decision is received, the system sends this decision, along with the original medical image and report, to a second electronic device.
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August 4, 2020
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